picth_vision_checkpoint_1

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0552
• Accuracy: 0.9939

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 12296

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0198	0.2501	3075	0.0892	0.9847
0.0459	1.2501	6150	0.0368	0.9928
0.0	2.2501	9225	0.0471	0.9939
0.0	3.2498	12296	0.0552	0.9939

Framework versions

• Transformers 4.51.3
• Pytorch 2.3.1+cu121
• Datasets 3.6.0
• Tokenizers 0.21.1